Abstract: This disclosure describes techniques that relate generally to the collection, processing, storage, and graphical representation of medical imaging data associated with patient care. Medical imaging data may be processed using object recognition algorithms to help determined pertinent medical characteristics. Further, a graphical fusion application may generate a graphical representation of medical data that is based at least in part on a combination of medical imaging data and corresponding interpretation data. The graphical representation may overlay a schematic diagram of a relevant organ system, so as to provide a medical practitioner with a visual, more specifically graphical, indication of the medical imaging data. Interpretation data of pertinent medical characteristics may be generated by an automated analysis of the medical imaging data.

Abstract: Techniques are described for analyzing patient image data relative to stored medical image data. A Registry & Image Data Analytics (RIDA) system is described that is configured to analyze medical image data, generate corresponding metadata, and selectively store the medical image data, and metadata, within a registry & image data repository. The RIDA system may be configured to extract pertinent medical data from medical image data that is related to patient care, medical examinations and/or medical research. In doing so, the RIDA system may infer a medical diagnosis based on an analysis of patient image data. Additionally, the RIDA system may infer the validity of a medical hypothesis based at least in part on an analysis of patient image data. The RIDA system may also generate and store a synthesized expression of a text-based or audio-based user input into patient image data and/or corresponding registry data record.

Abstract: This disclosure describes techniques that relate generally to the collection, processing, storage, and graphical representation of medical imaging data associated with patient care. Medical imaging data may be processed using object recognition algorithms to help determined pertinent medical characteristics. Further, a graphical fusion application may generate a graphical representation of medical data that is based at least in part on a combination of medical imaging data and corresponding interpretation data. The graphical representation may overlay a schematic diagram of a relevant organ system, so as to provide a medical practitioner with a visual, more specifically graphical, indication of the medical imaging data. Interpretation data of pertinent medical characteristics may be generated by an automated analysis of the medical imaging data.